Existing-condition data for residential and commercial development

Why it matters

Every value-add acquisition carries the same risk: the building you underwrote may not be the building you bought. Floor plates that don't match the offering memorandum, structure that constrains the intended layout, and rentable area that shrinks under proper measurement all show up after closing, when the options are expensive.

Scanning early converts that uncertainty into numbers. Accurate areas drive realistic quantities and pro-formas. Documented structure tells you which concepts are actually viable before design fees are spent. And a point cloud captured once serves the whole team — architects, engineers, and contractors working from one verified base instead of three conflicting field measurements.

On residential development, the same logic applies at smaller scale: knowing exactly what exists before committing to a scheme is the cheapest risk reduction available.